Gcp jobs in London - Page 16Create job alerts

Senior Data Engineer HealthTech / AI-Driven Data Platform Paddington, London \n Were partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. As they scale their data capability, theyre hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform. \n\n Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. \n Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . \n Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. \n Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data. \n Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies. \n 4+ years experience in data engineering or analytics engineering roles. \n~ Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). \n~ Solid grasp of data modelling, orchestration, and CI/CD best practices . \n~ Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). \n~ Strong communicator comfortable working with product, clinical, and data science teams. \n~ Interest in contributing to data-driven healthcare innovation . \n\n\n Work at the intersection of healthcare and AI , solving meaningful real-world problems. \n Influence the technical direction of a modern cloud-first data platform . \n Competitive salary, equity, and benefits. \n Join a supportive, high-calibre engineering team committed to quality and innovation. \n\n Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark

I am working with an exciting AI startup who are turning complex video into searchable insights - they're looking for a Software Engineer to work on the backend. \n You’ll design scalable systems, build APIs, and deploy AI models—turning cutting-edge research into a production-ready platform. \n\n Remote : UK \n Salary : Up to £50k + 1% Equity \n\n What You’ll Do \n Build and scale backend services for video processing and search \n Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability \n Set up CI/CD pipelines and observability tools \n Collaborate with AI researchers to integrate models into production \n Take a product-first approach to engineering \n\n What You’ll Need \n Experience with distributed systems and cloud platforms \n~ Proficiency in database design (e.g. PostgreSQL)\n~ Familiarity with Docker, IaC tools (Terraform), and monitoring stacks \n~ Start-up mindset \n\n\n Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. \n\n Why Join \n Work on meaningful AI applications with real-world impact \n Enjoy flexibility, autonomy, and early equity \n Collaborate with a world-class, mission-driven team

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits \n My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. \n\n Competitive salary 120,000160,000\n Fully remote within the UK, with hybrid options in London. \n Open annual leave policy \n Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. \n Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators. \n Implement safety, validation, and ethical guardrails for autonomous AI behaviors. \n Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures. \n Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability. \n Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications. \n Integrate AI agents with APIs, chatbots, and knowledge management systems. \n Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment. \n Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. \n Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. \n\n 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. \n~ Strong programming skills in Python, PyTorch, TensorFlow, or JAX. \n~ Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines. \n~ Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration. \n~ Experience deploying AI models in production with MLOps best practices. \n~ AWS, GCP, or Azure. \n~ Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. \n~ If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please Note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check. \n\n TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits \n My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. \n\n Competitive salary 120,000160,000\n Fully remote within the UK, with hybrid options in London. \n Open annual leave policy \n Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. \n Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators. \n Implement safety, validation, and ethical guardrails for autonomous AI behaviors. \n Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures. \n Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability. \n Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications. \n Integrate AI agents with APIs, chatbots, and knowledge management systems. \n Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment. \n Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. \n Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. \n\n 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. \n~ Strong programming skills in Python, PyTorch, TensorFlow, or JAX. \n~ Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines. \n~ Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration. \n~ Experience deploying AI models in production with MLOps best practices. \n~ AWS, GCP, or Azure. \n~ Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. \n~ If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please Note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check. \n\n TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Senior Data Engineer – HealthTech / AI-Driven Data Platform Paddington, London £75,000 – £100,000 + Equity + Benefits We’re partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. Their platform integrates complex datasets from multiple health systems, enabling better decision-making, faster diagnosis, and measurable patient impact. As they scale their data capability, they’re hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform. What you’ll be doing • Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning., • Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools ., • Implementing data quality, observability, and governance frameworks to ensure reliability and compliance., • Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data., • Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies., • Working on-site in Paddington 3–4 days per week with a collaborative cross-functional team. What we’re looking for • 4+ years’ experience in data engineering or analytics engineering roles., • Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform )., • Solid grasp of data modelling, orchestration, and CI/CD best practices ., • Experience with Azure or GCP (Databricks, BigQuery, or Data Factory)., • Strong communicator comfortable working with product, clinical, and data science teams., • Interest in contributing to data-driven healthcare innovation . Why join? • Work at the intersection of healthcare and AI , solving meaningful real-world problems., • Influence the technical direction of a modern cloud-first data platform ., • Competitive salary, equity, and benefits., • Join a supportive, high-calibre engineering team committed to quality and innovation. 📍 Location: Paddington, London 💻 Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark

Senior NLP Researcher - London \n About the Opportunity Join our client's cutting-edge AI research team as they push the boundaries of Large Language Model technology. We're seeking an experienced researcher who thrives on solving complex challenges in foundation model development and wants to make a real impact on the future of AI. \n\n Advanced Research & Innovation \n Drive breakthrough research in LLM architectures, transformer optimisation, and novel training methodologies \n Pioneer developments in multi-modal AI systems and next-generation language understanding \n\n Technical Leadership & Implementation \n Build and optimise large-scale training infrastructures for foundation model development \n Design robust data engineering solutions for complex multi-modal datasets \n Lead end-to-end model deployment from research prototype to production-ready systems \n Work closely with cross-disciplinary teams to translate research breakthroughs into practical applications \n Contribute to research culture through knowledge sharing and best practice development \n\n Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment \n Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX \n Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks)\n Strong problem-solving abilities for complex model performance and infrastructure challenges \n\n Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline \n Research publications in leading AI/ML conferences \n Cloud platform experience (AWS, GCP, Azure) with production ML deployment \n Experience with enterprise-scale data engineering and workflow orchestration tools \n\n What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a collaborative research environment that prioritises innovation and professional growth.

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Salary and Benefits • Competitive salary 120,000160,000, • Share options, • Fully remote within the UK, with hybrid options in London., • Open annual leave policy, • Company socials Responsibilities • Design, fine-tune, and optimize transformer-based LLMs and multimodal models., • Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs., • Apply model compression, quantization, and distillation for low-latency inference., • Develop multi-step reasoning agents and autonomous workflows powered by LLMs., • Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators., • Implement safety, validation, and ethical guardrails for autonomous AI behaviors., • Curate and preprocess large-scale text, code, and multimodal datasets for supervised, self-supervised, and agentic learning., • Design and maintain embedding pipelines and vector stores (FAISS, Pinecone, Weaviate)., • Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures., • Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability., • Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications., • Integrate AI agents with APIs, chatbots, and knowledge management systems., • Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment., • Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod., • Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. Requirements • 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents., • Strong programming skills in Python, PyTorch, TensorFlow, or JAX., • Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines., • Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration., • Experience deploying AI models in production with MLOps best practices., • Cloud experience: AWS, GCP, or Azure., • Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field., • Strong problem-solving skills and the ability to translate research into production systems. If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at or you can call me on 0191 300 1232. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Senior DevOps Engineer (MLOps / LLMOps) Clearance: Eligible for BPSS \n Start: ASAP \n Work pattern: Hybrid (London)\n Work type: 12 month FTC (Competitive Salary)\n\n We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. \n We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. \n\n Key Responsibilities \n Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). \n Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps / LLMOps). \n Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). \n Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. \n Develop automation scripts in Python to streamline operations and reduce manual tasks. \n Implement comprehensive monitoring, logging, and alerting to maintain high system reliability and performance. \n Provide technical support for complex issues and advise on modern engineering practices for large-scale projects. \n Skills & Experience \n Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). \n Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. \n Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). \n Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). \n Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). \n Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). \n Desirable \n Experience deploying AI inference engines (vLLM, Ray Serve, Triton). \n Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). \n Understanding of AI safety and reliability frameworks (Guardrails AI). \n This is an exciting opportunity to help define the infrastructure powering the next generation of AI-driven public services. If you have the experience and passion to work on impactful projects within government, we’d love to hear from you.

Contract Network Engineer \n~ London 3 days PW \n~ Rate: £500 PD (Inside IR35)\n~6-12 Month Contract \n\n\n Overview \n We are seeking a skilled Network Engineer on a contract basis to join our clients IT Operations team. In this role, you will ensure the reliability, performance, and security of critical network infrastructure across the company, data center, and multi-cloud environments (AWS/GCP). While primarily focused on networking, you will also support occasionally on systems administration tasks as needed, making you a versatile contributor in a fast-paced, collaborative environment supporting cutting-edge technology. \n\n Role and Responsibilities \n Administer, operate, and maintain enterprise network infrastructure, including LAN/WLAN, VPNs, DNS/DHCP/IPAM, firewalls, and cloud networking (AWS, GCP). \n Proactively monitor and troubleshoot performance, availability, and connectivity issues, taking ownership of incident resolution end-to-end. \n Support systems administration tasks when required, including account provisioning, server patching, storage, and backup troubleshooting. \n Strengthen network security through policy enforcement, configuration audits, and adherence to best practices. \n Collaborate with IT Engineering on network design reviews, ensuring smooth handoffs into production. \n Document configurations, standard operating procedures, runbooks, and network diagrams to facilitate knowledge sharing. \n Participate in the UK on-call rotation for critical issues outside regular business hours. \n\n Skills and Experience \n Experience in enterprise network operations and troubleshooting. \n Proven ability to configure and support LAN/WLAN environments, routing/switching, VLANs, and DNS/DHCP. \n Knowledge of routing protocols and networking technologies such as BGP, VRRP/HSRP, TCP/UDP, LACP. \n Strong diagnostic skills using packet capture and other troubleshooting tools. \n Excellent communication and documentation skills, with a proactive problem-solving mindset. \n Willingness to assist with systems administration tasks when required. \n\n Beneficial: \n Experience with Arista EOS, CloudVision, or similar network platforms. \n Familiarity with firewalls (Palo Alto preferred), network access control (802.1x, RADIUS), or zero-trust security concepts. \n Exposure to infrastructure-as-code (Terraform, Ansible) and version control systems (Git). \n Experience with monitoring and observability tools (LogicMonitor, Grafana, Prometheus). \n Knowledge of hybrid cloud networking, including AWS Direct Connect or GCP Interconnect. \n Relevant certifications such as CCNP, AWS Advanced Networking Specialty, or Google Cloud Network Engineer.

Contract Network Engineer \n~ London 3 days PW \n~ Rate: £500 PD (Inside IR35)\n~6-12 Month Contract \n\n\n Overview \n We are seeking a skilled Network Engineer on a contract basis to join our clients IT Operations team. In this role, you will ensure the reliability, performance, and security of critical network infrastructure across the company, data center, and multi-cloud environments (AWS/GCP). While primarily focused on networking, you will also support occasionally on systems administration tasks as needed, making you a versatile contributor in a fast-paced, collaborative environment supporting cutting-edge technology. \n\n Role and Responsibilities \n Administer, operate, and maintain enterprise network infrastructure, including LAN/WLAN, VPNs, DNS/DHCP/IPAM, firewalls, and cloud networking (AWS, GCP). \n Proactively monitor and troubleshoot performance, availability, and connectivity issues, taking ownership of incident resolution end-to-end. \n Support systems administration tasks when required, including account provisioning, server patching, storage, and backup troubleshooting. \n Strengthen network security through policy enforcement, configuration audits, and adherence to best practices. \n Collaborate with IT Engineering on network design reviews, ensuring smooth handoffs into production. \n Document configurations, standard operating procedures, runbooks, and network diagrams to facilitate knowledge sharing. \n Participate in the UK on-call rotation for critical issues outside regular business hours. \n\n Skills and Experience \n Experience in enterprise network operations and troubleshooting. \n Proven ability to configure and support LAN/WLAN environments, routing/switching, VLANs, and DNS/DHCP. \n Knowledge of routing protocols and networking technologies such as BGP, VRRP/HSRP, TCP/UDP, LACP. \n Strong diagnostic skills using packet capture and other troubleshooting tools. \n Excellent communication and documentation skills, with a proactive problem-solving mindset. \n Willingness to assist with systems administration tasks when required. \n\n Beneficial: \n Experience with Arista EOS, CloudVision, or similar network platforms. \n Familiarity with firewalls (Palo Alto preferred), network access control (802.1x, RADIUS), or zero-trust security concepts. \n Exposure to infrastructure-as-code (Terraform, Ansible) and version control systems (Git). \n Experience with monitoring and observability tools (LogicMonitor, Grafana, Prometheus). \n Knowledge of hybrid cloud networking, including AWS Direct Connect or GCP Interconnect. \n Relevant certifications such as CCNP, AWS Advanced Networking Specialty, or Google Cloud Network Engineer.

Senior DevOps Engineer (MLOps / LLMOps) Clearance: Eligible for BPSS \n Start: ASAP \n Work pattern: Hybrid (London)\n Work type: 12 month FTC (Competitive Salary)\n\n We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. \n We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. \n\n Key Responsibilities \n Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). \n Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps / LLMOps). \n Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). \n Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. \n Develop automation scripts in Python to streamline operations and reduce manual tasks. \n Implement comprehensive monitoring, logging, and alerting to maintain high system reliability and performance. \n Provide technical support for complex issues and advise on modern engineering practices for large-scale projects. \n Skills & Experience \n Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). \n Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. \n Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). \n Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). \n Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). \n Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). \n Desirable \n Experience deploying AI inference engines (vLLM, Ray Serve, Triton). \n Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). \n Understanding of AI safety and reliability frameworks (Guardrails AI). \n This is an exciting opportunity to help define the infrastructure powering the next generation of AI-driven public services. If you have the experience and passion to work on impactful projects within government, we’d love to hear from you.

Senior Data Engineer HealthTech / AI-Driven Data Platform Paddington, London \n Were partnered with a fast-growing HealthTech company using data and AI to transform how healthcare organisations manage clinical and operational insights. As they scale their data capability, theyre hiring a Data Engineer to play a key role in designing and delivering the next generation of their data platform. \n\n Designing, developing, and optimising scalable data pipelines that power advanced analytics and machine learning. \n Building and maintaining robust ETL/ELT workflows using Python, SQL, dbt, and cloud-native tools . \n Implementing data quality, observability, and governance frameworks to ensure reliability and compliance. \n Collaborating with data scientists, analysts, and clinicians to enable actionable insights through clean, well-modelled data. \n Driving technical decisions across Azure Databricks , GCP BigQuery , and other modern data technologies. \n 4+ years experience in data engineering or analytics engineering roles. \n~ Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). \n~ Solid grasp of data modelling, orchestration, and CI/CD best practices . \n~ Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). \n~ Strong communicator comfortable working with product, clinical, and data science teams. \n~ Interest in contributing to data-driven healthcare innovation . \n\n\n Work at the intersection of healthcare and AI , solving meaningful real-world problems. \n Influence the technical direction of a modern cloud-first data platform . \n Competitive salary, equity, and benefits. \n Join a supportive, high-calibre engineering team committed to quality and innovation. \n\n Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark

Senior Python Engineer | London \n We’re partnering with a high-growth AI startup that’s building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together — and they’re scaling fast. \n\n If you’re excited by the idea of joining an elite engineering team tackling deep technical problems in AI, automation, and scalable software systems, this could be the role for you. \n\n As a Senior Python Engineer , you’ll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. You’ll work closely with AI and product teams to bring intelligent features into production — solving high-impact problems with clean, scalable code. \n\n Architect, design, and build robust backend systems and APIs using Python. \n Collaborate with AI and data teams to integrate models into production environments. \n Optimise and scale distributed systems and data pipelines for performance and reliability. \n Maintain best practices for testing, CI/CD, and documentation. \n\n Strong academic foundation in Computer Science, Engineering, or related discipline. \n Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. \n~ Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). \n~ Bonus Points For: \n Experience in AI-driven or automation-heavy environments. \n Exposure to PropTech, data-heavy SaaS platforms, or real-world workflow automation. \n Competitive salary + equity options. \n The opportunity to help shape the foundation of a next-generation AI company.

Senior DevOps Engineer (MLOps / LLMOps) Clearance: Eligible for BPSS \n Start: ASAP \n Work pattern: Hybrid (London)\n Work type: 12 month FTC (Competitive Salary)\n\n We’re working with a major UK government initiative that’s shaping the future of how citizens interact with public services. The programme focuses on harnessing the latest AI technologies to deliver simpler, faster, and more efficient digital experiences across departments. \n We’re looking for an experienced Cloud & DevOps Engineer to join the AI Customer Experience team - a multidisciplinary group driving innovation in Generative AI, conversational interfaces, and automation. You’ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. \n\n Key Responsibilities \n Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). \n Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps / LLMOps). \n Containerise workloads using Docker and manage deployments through Kubernetes (KubeRay, Kubeflow, MLRun, or similar). \n Provision and manage the infrastructure required to run AI workloads, including vector databases and hyperscaler AI services. \n Develop automation scripts in Python to streamline operations and reduce manual tasks. \n Implement comprehensive monitoring, logging, and alerting to maintain high system reliability and performance. \n Provide technical support for complex issues and advise on modern engineering practices for large-scale projects. \n Skills & Experience \n Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). \n Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. \n Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). \n Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). \n Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). \n Deep understanding of containerisation and orchestration tools (Docker, Kubernetes). \n Desirable \n Experience deploying AI inference engines (vLLM, Ray Serve, Triton). \n Familiarity with observability tools for LLMs (TruLens, Helicone, LangSmith). \n Understanding of AI safety and reliability frameworks (Guardrails AI). \n This is an exciting opportunity to help define the infrastructure powering the next generation of AI-driven public services. If you have the experience and passion to work on impactful projects within government, we’d love to hear from you.

com or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: Application Support Request. \n Do you have the expertise in developing and implementing AI solutions?\n We have a great role for you AI Engineer!\n\n TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. \n As an AI Engineer , you will join our dynamic technology and compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. \n\n Develop and implement AI solutions using LLMs to monitor, parse, and summarise regulatory policy changes from multiple jurisdictions and sources. \n Automate the detection of regulatory updates and map these changes to existing Bank controls, policies, and procedures. \n Collaborate with compliance, risk, and IT teams to ensure seamless integration of AI-driven controls with the Banks governance frameworks and operational processes. \n Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability. \n Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability. \n Continuously evaluate the effectiveness of automated controls and recommend enhancements based on new regulatory requirements or technological advancements. \n Conduct regular reviews and testing of AI models to ensure accuracy, fairness, and compliance with internal and external standards. \n Stay updated with the latest developments in AI, LLMs, and regulatory technology (RegTech), and proactively propose innovative solutions. \n\n Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). \n Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. \n Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). \n Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. \n Ability to translate regulatory requirements into technical specifications and automated controls. \n Experience in delivering solutions in Agile environments and working with cross-functional teams. \n Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. \n\n Experience in RegTech or working with compliance and audit teams in a banking or financial services context. \n Professional Data Engineer, Professional Machine Learning Engineer). \n Understanding of data privacy, security, and ethical considerations in AI applications. \n\n Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. \n We offer health & wellness initiatives and sports events; Diversity, Inclusion and Wellbeing: \n Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. \n We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. \n As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Adjustment Request or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. Apply online now.

Penetration Tester Permanent – up to £85k per annum \n London based – hybrid working – 2-3 days office based \n Must have CHECK CTL and certified \n\n Role Overview: \n We are seeking a highly skilled and experienced Offensive Security Consultant with a strong focus understanding on threat intelligence and attack methods. The ideal candidate will be responsible for managing and conducting advanced penetration testing engagements, leveraging threat intelligence to simulate real-world attacks across a variety of environments, including OT, IT, web applications, cloud infrastructure, and APIs. This role requires a deep understanding of adversarial approaches, excellent communication skills, and the ability to provide strategic and actionable recommendations to significantly enhance our clients' security posture. \n\n Responsibilities: \n Lead and manage the full lifecycle of complex penetration testing engagements, applying a strong threat intelligence-led approach. \n Execute advanced penetration tests across a broad range of environments (applications, infrastructure, web, APIs, O365, Azure, AWS, OT), directly applying your knowledge of current threat landscapes and attacker TTPs. \n Develop and maintain sophisticated test plans, execution plans, and targeted use cases directly informed by in-depth threat intelligence analysis. \n Identify and prioritize OT and IT assets, services, and systems based on their criticality and potential exposure to identified threats. \n Strategically prioritize, plan, and schedule penetration testing engagements based on comprehensive threat assessments and client-specific requirements. \n Produce high-quality, detailed reports that clearly articulate technical findings, potential business impact, and strategic, actionable remediation recommendations for both technical and non-technical stakeholders. \n Clearly and effectively communicate complex security concepts, adversarial tactics, and critical threat intelligence insights to diverse audiences. \n Collaborate closely with client IT and cybersecurity teams to drive the enhancement of security protocols and ensure effective, threat-informed remediation of identified vulnerabilities. \n Track the progress of remediation efforts and provide regular, concise updates to stakeholders, highlighting the reduction of identified threats. \n Conduct proactive security research and contribute to the creation of technical content on emerging threats, advanced attack techniques, and threat intelligence-led testing methodologies. \n Contribute to strengthening security monitoring (blue team) capabilities by providing valuable insights into offensive techniques and adversarial behaviours to enhance detection and response effectiveness. \n Drive the patching regime for identified vulnerabilities, prioritizing remediation efforts based on threat intelligence and the potential for exploitation by advanced threat actors. \n\n Skills and Qualifications: \n Minimum of 5 years of demonstrable professional experience in penetration testing, with a strong emphasis on understanding, emulating, and leveraging adversarial tactics and threat intelligence. \n Comprehensive understanding of OT and IT asset profiles, technologies, and security best practice principles, with a proven ability to contextualize them within the current threat landscape. \n In-depth knowledge of network protocols, cryptography, security vulnerabilities, and common attack vectors employed by sophisticated threat actors. \n Demonstrated proficiency in utilizing a wide range of penetration testing tools and methodologies, including those specifically used for threat intelligence analysis and application. \n Proven experience in scoping and executing complex penetration tests, particularly those directly informed and driven by threat intelligence. \n Exceptional written and verbal communication skills, with the ability to articulate complex technical findings and nuanced threat intelligence insights clearly and concisely to diverse audiences. \n Strong organizational and time management skills, with a proven ability to effectively manage and prioritize multiple concurrent engagements. \n Current CREST CTL certification or higher is essential. \n\n Desirable Skills: \n Experience with Breach Attack Simulation tools and methodologies. \n Experience in Vulnerability Management processes and integrating threat intelligence. \n Understanding of Risk Management frameworks and how threat intelligence informs risk assessments. \n Hands-on experience with security reviews of AWS, Azure, and GCP environments, incorporating cloud-specific threats. \n Experience with ISO 27001 auditing/implementation, understanding the role of threat intelligence in compliance. \n Other advanced cybersecurity certifications such as CISM, CISSP, ECSA, CREST CCT.

com or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: Application Support Request. \n Do you have the expertise in developing and implementing AI solutions?\n We have a great role for you AI Engineer!\n\n TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. \n As an AI Engineer , you will join our dynamic technology and compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. \n\n Develop and implement AI solutions using LLMs to monitor, parse, and summarise regulatory policy changes from multiple jurisdictions and sources. \n Automate the detection of regulatory updates and map these changes to existing Bank controls, policies, and procedures. \n Collaborate with compliance, risk, and IT teams to ensure seamless integration of AI-driven controls with the Banks governance frameworks and operational processes. \n Design, build, and maintain scalable AI pipelines and applications on Google Cloud Platform (GCP), ensuring performance, security, and reliability. \n Create and maintain documentation for AI models, workflows, and automated controls, ensuring transparency and auditability. \n Continuously evaluate the effectiveness of automated controls and recommend enhancements based on new regulatory requirements or technological advancements. \n Conduct regular reviews and testing of AI models to ensure accuracy, fairness, and compliance with internal and external standards. \n Stay updated with the latest developments in AI, LLMs, and regulatory technology (RegTech), and proactively propose innovative solutions. \n\n Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). \n Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. \n Strong programming skills in Python (preferred), Java, or similar languages, including experience with ML frameworks (TensorFlow, PyTorch, etc.). \n Familiarity with regulatory environments in banking/finance and understanding of regulatory change management processes. \n Ability to translate regulatory requirements into technical specifications and automated controls. \n Experience in delivering solutions in Agile environments and working with cross-functional teams. \n Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. \n\n Experience in RegTech or working with compliance and audit teams in a banking or financial services context. \n Professional Data Engineer, Professional Machine Learning Engineer). \n Understanding of data privacy, security, and ethical considerations in AI applications. \n\n Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. \n We offer health & wellness initiatives and sports events; Diversity, Inclusion and Wellbeing: \n Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. \n We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. \n As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Adjustment Request or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. Apply online now.

Security Operations Lead - Fintech - Trading Hybrid Working - 3 days in London office \n\n As SecOps Lead , you will act as the main liaison between internal security, engineering, and IT teams, and an external Managed Detection and Response (MDR) partner. You’ll oversee incident management, enhance detection and response processes, and strengthen the company’s overall security posture. \n\n Lead incident response efforts during security events — coordinating across teams to achieve fast containment and recovery. \n Review and fine-tune security alerts with the MDR provider, reducing false positives and improving detection accuracy. \n Develop and monitor MDR performance metrics (KPIs) , presenting insights and trends to senior leadership. \n Maintain and evolve the security incident response plan (IRP) and playbooks in collaboration with the MDR provider. \n Translate technical security risks into actionable business recommendations for stakeholders at all levels. \n Contribute to broader cybersecurity initiatives , including vulnerability management, cloud security, data protection, and governance, risk & compliance (GRC). \n\n Hands-on experience with SIEM tools such as Splunk, Sentinel, or QRadar — including log analysis and data correlation. \n Working knowledge of network security , including protocols, firewalls, IDS/IPS, and traffic analysis. \n Experience with cloud security principles in AWS, Azure, or GCP. \n Ability to interpret and apply threat intelligence to improve controls and detection coverage.

Job Title : Solution Architect (Banking Domain) Location : London/Northampton \n Permanent \n\n Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world \n\n We are seeking a strategic and visionary Solution Architect to lead the design and implementation of our enterprise-wide technology architecture. This role is responsible for aligning IT strategy with business goals, ensuring that technology investments deliver maximum value, and enabling scalable, secure, and future-ready solutions across the organization. \n\n Develop multi-year architecture roadmaps aligned with business strategy and digital transformation goals. \n Technology Planning & Integration \n Evaluate emerging technologies and trends to inform strategic planning. \n Guide the integration of systems, platforms, and data across business units. \n Collaborate with solution architects, infrastructure teams, and business stakeholders to ensure cohesive architecture. \n Risk Management & Security \n Ensure architecture supports robust cybersecurity, data privacy, and regulatory compliance. \n Identify and mitigate architectural risks related to scalability, performance, and interoperability. \n Banking solution experience is must \n Understanding of General Ledger, Payments, Accounts area"\n\n 10+ years of experience in IT, with at least 5 years in Solution/Enterprise architecture or related leadership roles. \n~ Banking domain experience is must \n~ Azure, AWS, GCP), microservices, APIs, and data architecture. \n~ Certification in TOGAF, AWS/Azure Architecture, or similar. \n• Experience in digital transformation, business process Modelling, and agile methodologies. \n• Familiarity with enterprise tools such as ServiceNow, SAP, Salesforce, or similar platforms. \n\n Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.

Job Description Job Description We are seeking a highly skilled and motivated Cloud Security Engineer to join a forward-thinking technology team within a rapidly scaling enterprise. The successful candidate will be responsible for designing, implementing, and maintaining robust cloud security solutions across AWS, Azure, and hybrid environments. This is an exciting opportunity to be at the forefront of DevSecOps practices, helping secure cloud-native applications and infrastructure while ensuring compliance with industry standards. Job Responsibilities Design and implement cloud security architecture and controls in AWS, Azure, or GCP. Lead cloud security assessments and support vulnerability remediation. Automate security tools and processes using Infrastructure-as-Code (IaC) practices. Manage IAM, encryption, firewalls, and compliance policies. Work closely with DevOps and Engineering teams to embed security in CI/CD pipelines. Monitor cloud environments using SIEM and cloud-native tools. Ensure compliance with ISO 27001, NIST, GDPR, and other standards. Requirements Required Skills Proven experience with AWS and/or Azure security services (e.g., IAM, KMS, WAF, Security Center) Knowledge of security best practices for cloud infrastructure and application development Familiarity with IaC tools like Terraform or CloudFormation Strong understanding of network and container security (e.g., Kubernetes, Docker) Experience with vulnerability management tools and SIEM platforms (e.g., Splunk, Sentinel) Scripting knowledge (Python, Bash, PowerShell) Desired Skills Cloud security certifications (e.g., AWS Certified Security, Azure Security Engineer Associate) Familiarity with SOC2, ISO 27001, CIS Benchmarks Experience with zero trust architecture and SASE models Understanding of DevSecOps tooling (e.g., GitHub Actions, Jenkins, Checkov) Benefits Job Benefits Competitive base salary with bonus Remote-first working policy Private healthcare wellness support Learning certification allowance (AWS, Azure, GCP, CISSP) Pension plan life insurance Access to enterprise-grade tooling and training resources Requirements Required Skills In-depth knowledge of ISO 27001, NIST CSF, GDPR, and risk management frameworks Experience performing security risk assessments, internal audits, and compliance reviews Strong understanding of cybersecurity controls, regulatory mandates, and business risk alignment Excellent client communication, stakeholder management, and reporting skills Familiarity with GRC platforms (e.g., RSA Archer, ServiceNow GRC, LogicGate) Desired Skills Certifications such as CISM, CRISC, ISO 27001 Lead Auditor, or similar Experience working with financial services, healthcare, or SaaS industries Understanding of emerging regulations (e.g., DORA, NIS2, AI Act) Cloud compliance knowledge (e.g., CSA CCM, AWS/Azure/GCP compliance) Familiarity with SOC 2, PCI DSS, HIPAA frameworks

Job Title: Senior Data Engineer Base Location: London OR Glasgow based (Hybrid – 2 days per week in office) The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting edge solutions across the United Kingdom. This team will be responsible for delivering technology enabled outcomes across the Tax & Legal business using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for the business and our clients alike. KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We've proudly stood beside the institutions and businesses which make the UK what it is. Why Join the KPMG Tax & Legal Technology Engineering team as Senior Data Engineer We might be world leaders in Tax & Legal, but in many ways the engineering department feels like a start-up, with a twist. There’s the buzz of scrum working, the thrill of shaping compelling experiences, the chance to surprise and stretch yourself in response to a fresh challenge. And then there’s all the resources, technology and high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression. What will you be doing? We are seeking a Senior Data Engineer with strong experience in Cloud data platforms, API integration, and modern data engineering tools to help deliver our Tax & Legal data and analytics strategy. You’ll work closely with Lead Engineers, Architects, Product Owners, and BI Developers to design and implement scalable, high-performance data solutions. This is a hands-on engineering role involving the design, development, and deployment of cloud-based data pipelines, integrations, and analytics-ready datasets. The role requires engaging with a variety of stakeholders in engineering teams and the business to deliver business critical solutions. You will collaborate with Data Architects and Data engineers’ firm wide to align to best practice and the firms Data management policy. What will you need to do it? • Proven experience working as a data engineer or software engineer working on Cloud data platforms, especially Azure., • Strong hands-on experience with Azure Data Factory and Azure Databricks (or Microsoft Fabric)., • Strong problem-solving skills and the ability to logically analyse complex requirements, processes, and systems to deliver solutions., • Solid understanding of data modelling, ETL/ELT processes, and data warehousing., • Proficiency in SQL and Python (especially PySpark), as well as other relevant programming languages., • Passion for using data to drive key business decisions. Skills we’d love to see/Amazing Extras: • Experience with Microsoft Fabric., • Familiarity with other cloud platforms (AWS, GCP)., • Experience integrating with ERP systems such as SAP, Oracle, or Netsuite., • Knowledge of Power Platform (Power Apps, Power Automate)., • Knowledge of Delta Lakehouse architectures and concepts., • Experience with Azure Synapse (dedicated and serverless pools), Azure Data Lake, and Azure SQL., • Familiarity working in a DevOps environment., • Experience with REST APIs, including endpoint authentication and integration (e.g., Microsoft Graph APIs). To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to talent across the country but preference will be given to candidates who are willing and able to do 2 days per week in one of our core Tech hubs for this role, which are: Canary Wharf, London OR Glasgow We can potentially facilitate flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Tech and Engineering we have a range of divisions and specialisms. Click the links to find out more below: Technology and Engineering at KPMG : ITs Her Future Women in Tech programme: KPMG Workability and Disability confidence: For any additional support in applying, please click the links to find out more: Applying to KPMG: Tips for interview: KPMG values: KPMG Competencies: KPMG Locations and FAQ:

Job Title: Senior Data Engineer \n Base Location: London OR Glasgow based (Hybrid – 2 days per week in office)\n\n\n The KPMG Tax & Legal Technical Engineering function is a cornerstone of our business. We do work that matters to our local business and communities – supporting technical innovation and adoption of cutting edge solutions across the United Kingdom. This team will be responsible for delivering technology enabled outcomes across the Tax & Legal business using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for the business and our clients alike. \n KPMG is one of the world's largest and most respected consultancy businesses, we've supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. Why Join the KPMG Tax & Legal Technology Engineering team as Senior Data Engineer \n\n We might be world leaders in Tax & Legal, but in many ways the engineering department feels like a start-up, with a twist. There’s the buzz of scrum working, the thrill of shaping compelling experiences, the chance to surprise and stretch yourself in response to a fresh challenge. And then there’s all the resources, technology and high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression. \n\n We are seeking a Senior Data Engineer with strong experience in Cloud data platforms, API integration, and modern data engineering tools to help deliver our Tax & Legal data and analytics strategy. You’ll work closely with Lead Engineers, Architects, Product Owners, and BI Developers to design and implement scalable, high-performance data solutions. \n This is a hands-on engineering role involving the design, development, and deployment of cloud-based data pipelines, integrations, and analytics-ready datasets. You will collaborate with Data Architects and Data engineers’ firm wide to align to best practice and the firms Data management policy. \n \n\n Proven experience working as a data engineer or software engineer working on Cloud data platforms, especially Azure. \n Strong hands-on experience with Azure Data Factory and Azure Databricks (or Microsoft Fabric). \n Solid understanding of data modelling, ETL/ELT processes, and data warehousing. \n Proficiency in SQL and Python (especially PySpark), as well as other relevant programming languages. \n Passion for using data to drive key business decisions. \n\n Experience with Microsoft Fabric. \n Familiarity with other cloud platforms (AWS, GCP). \n Experience integrating with ERP systems such as SAP, Oracle, or Netsuite. \n Experience with Azure Synapse (dedicated and serverless pools), Azure Data Lake, and Azure SQL. \n Familiarity working in a DevOps environment. \n Microsoft Graph APIs). \n\n To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. \n\n We are open to talk to talent across the country but preference will be given to candidates who are willing and able to do 2 days per week in one of our core Tech hubs for this role, which are: \n\n We can potentially facilitate flexible hours, and part-time options. Technology and Engineering at KPMG : \n ITs Her Future Women in Tech programme: \n KPMG Workability and Disability confidence: \n\n Applying to KPMG: \n Tips for interview: \n KPMG values: \n KPMG Competencies:

About the Role ControlCase is seeking a Senior IT Security Assessor to join our growing global team. In this fully remote UK-based role, you will conduct IT security audits and assessments for clients across the United Kingdom and the European region, ensuring compliance with PCI DSS, ISO 27001/2, GDPR, NIS2, DORA, and other relevant frameworks. This position offers the opportunity to become a PCI QSA (training and certification sponsored by ControlCase) while working in an international, collaborative, and growth-focused environment. Responsibilities • Lead client audits and compliance assessments across multiple frameworks., • Review and analyze systems, applications, databases, and network devices., • Assess cloud environments including AWS, Azure, and GCP., • Define audit scope, identify risks, and recommend improvements., • Provide compliance consulting to help clients meet regulatory requirements., • Produce final audit and compliance reports., • Collaborate with internal QA, project managers, and delivery teams., • Maintain professional certifications and stay current with industry standards. Qualifications and Skills • 4–5 years of IT security auditing or consulting experience., • Bachelor’s degree in information security or related field., • Deep knowledge of IT security controls, access management, logging, vulnerability assessment, and secure system configuration., • Experience with PCI DSS, ISO 27001/2, GDPR, NIS2, DORA, or similar compliance frameworks., • Strong understanding of cloud environments and network architectures., • Excellent English communication skills; fluency in German strongly preferred., • At least one certification from each of the following groups preferred: • Group 1: CISA, ISO 27001 Lead Auditor, • Group 2: CISSP, ISO 27001 Lead Implementer, CISM

Principal Software Engineer \n Join a once in a career opportunity to help build a premium private bank from the ground up. Which is currently in stealth mode , backed by significant capital and led by a visionary team. With mobilisation underway, were assembling a lean, elite engineering team to architect and deliver a secure, scalable, multi-cloud banking platform using modern technologies. \n\n This is a career-defining role for a polyglot engineer with deep expertise in Rust and Python , and a passion for building robust systems in highly regulated environments. \n\n What Youll Do \n Design and build core banking services and infrastructure using Rust , Python , and other modern languages. \n Develop secure, scalable systems across AWS and GCP , leveraging best practices in cloud-native architecture. \n Collaborate with product, platform, and security teams to ensure compliance with JFC and international regulatory standards. \n Contribute to platform development, including cloud security , observability , and performance optimisation . \n Work autonomously in a high-trust, remote-first environment with minimal oversight. \n Participate in code reviews, architecture discussions, and technical decision-making. \n\n You'll have the following: \n Extensive experience in Rust and Python in production environments. \n Proven track record of building and deploying systems in multi-cloud environments (AWS & GCP). \n Strong understanding of cloud security , infrastructure as code , and platform engineering . \n Comfortable working in regulated industries , ideally financial services or fintech. \n Self-starter mindset, able to thrive in ambiguity and take ownership of complex problems. \n No formal leadership experience required, but must be confident collaborating across disciplines and mentoring peers informally. \n\n We'd love to see! \n Experience with banking platforms , payments , or financial data systems . \n Familiarity with Rust async ecosystem , Kubernetes , Terraform , or Pulumi . \n Exposure FCA or JFSC or similar regulatory bodies. \n\n What's in it for you? \n Be part of a top-heavy engineering team with some of the finest minds in Rust and cloud architecture. \n Work on a greenfield platform with zero legacy constraints. \n Enjoy remote-first flexibility , high autonomy , and meaningful rewards . \n Help shape the future of ultra-premium private banking.

Principal Software Engineer \n Join a once in a career opportunity to help build a premium private bank from the ground up. Which is currently in stealth mode , backed by significant capital and led by a visionary team. With mobilisation underway, were assembling a lean, elite engineering team to architect and deliver a secure, scalable, multi-cloud banking platform using modern technologies. \n\n This is a career-defining role for a polyglot engineer with deep expertise in Rust and Python , and a passion for building robust systems in highly regulated environments. \n\n What Youll Do \n Design and build core banking services and infrastructure using Rust , Python , and other modern languages. \n Develop secure, scalable systems across AWS and GCP , leveraging best practices in cloud-native architecture. \n Collaborate with product, platform, and security teams to ensure compliance with JFC and international regulatory standards. \n Contribute to platform development, including cloud security , observability , and performance optimisation . \n Work autonomously in a high-trust, remote-first environment with minimal oversight. \n Participate in code reviews, architecture discussions, and technical decision-making. \n\n You'll have the following: \n Extensive experience in Rust and Python in production environments. \n Proven track record of building and deploying systems in multi-cloud environments (AWS & GCP). \n Strong understanding of cloud security , infrastructure as code , and platform engineering . \n Comfortable working in regulated industries , ideally financial services or fintech. \n Self-starter mindset, able to thrive in ambiguity and take ownership of complex problems. \n No formal leadership experience required, but must be confident collaborating across disciplines and mentoring peers informally. \n\n We'd love to see! \n Experience with banking platforms , payments , or financial data systems . \n Familiarity with Rust async ecosystem , Kubernetes , Terraform , or Pulumi . \n Exposure FCA or JFSC or similar regulatory bodies. \n\n What's in it for you? \n Be part of a top-heavy engineering team with some of the finest minds in Rust and cloud architecture. \n Work on a greenfield platform with zero legacy constraints. \n Enjoy remote-first flexibility , high autonomy , and meaningful rewards . \n Help shape the future of ultra-premium private banking.

AI Engineer Location: London (Hybrid)\n Salary: Up to £70,000 + Bonus + Benefits \n Start Date: ASAP \n\n We are seeking a talented and motivated AI Engineer to join a fast-growing, forward-thinking team operating at the cutting edge of artificial intelligence, large language models (LLMs), and cloud-native applications . \n\n This is an exciting opportunity for an engineer with solid experience in AI development, software engineering, or machine learning systems to work on projects that deliver real business impact across the banking and finance sector . \n You’ll collaborate with an international team of AI engineers, data scientists, and software developers to design, build, and deploy scalable AI-driven products that automate data workflows, enhance analytics, and improve decision-making capabilities. \n\n Designing, developing, and deploying AI and LLM-based solutions in production environments \n Building and maintaining retrieval-augmented generation (RAG) pipelines and integrating LLM APIs (e.g. Developing and optimising APIs, embeddings, and backend services for AI systems \n Writing clean, efficient, and well-documented code in Python and TypeScript/JavaScript \n Working within cloud environments (AWS, Azure, or GCP) to deploy and scale AI applications \n Participating in code reviews , technical discussions, and internal R&D projects \n Contributing to the evolution of internal frameworks and best practices for AI deployment \n\n 1–3 years of experience in AI engineering, data engineering, or software development \n~ Demonstrable experience delivering AI, LLM, or data-driven applications \n~ Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript \n~ Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate)\n~ Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD)\n~ Experience with prompt engineering , fine-tuning , or AI agents \n Exposure to enterprise AI security , multimodal AI , or reinforcement learning (RLHF)\n\n Competitive Salary: Up to £70,000 + annual performance bonus \n #Hybrid Working: Flexible blend of office and remote work \n #Career Development: Continuous learning, technical mentorship, and clear progression opportunities \n #Modern Tech Stack: Work with state-of-the-art AI, LLM, and cloud technologies \n #Join an innovative, global engineering and data science team \n ✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives \n\n If you’re passionate about applying your AI and engineering expertise to deliver cutting-edge solutions that make a real impact, we’d love to hear from you.

About the Role ControlCase is seeking a Senior IT Security Assessor to join our growing global team. In this fully remote UK-based role, you will conduct IT security audits and assessments for clients across the United Kingdom and the European region, ensuring compliance with PCI DSS, ISO 27001/2, GDPR, NIS2, DORA, and other relevant frameworks. This position offers the opportunity to become a PCI QSA (training and certification sponsored by ControlCase) while working in an international, collaborative, and growth-focused environment. \n Review and analyze systems, applications, databases, and network devices. \n• Assess cloud environments including AWS, Azure, and GCP. \n• Define audit scope, identify risks, and recommend improvements. \n• Provide compliance consulting to help clients meet regulatory requirements. \n• Collaborate with internal QA, project managers, and delivery teams. \n• 4–5 years of IT security auditing or consulting experience. \n• Bachelor’s degree in information security or related field. \n• Deep knowledge of IT security controls, access management, logging, vulnerability assessment, and secure system configuration. \n• Strong understanding of cloud environments and network architectures. \n• Excellent English communication skills; fluency in German strongly preferred. \n•

As a Senior GCP Cloud Infra Engineer, you will be part of our Public Cloud Platform and help achieve our mission to provide compliant and efficient Google Cloud Infra, product and DevOps capabilities for the Group and drive innovation to enable customers to have rapid and seamless Google Cloud Ado

Mid-Level Engineer - Python, SQL, Airflow, BigQuery, DBT, GCP \n\n 4+ years of experience in Data Engineering \n Python & SQL \n Familiarity with Data Ingestion (ideally in a SaaS context)\n This role is a hybrid role with 3-days a week required in Central London offices \n\n Base salary of £60

They are looking for a motivated Java Software Developer with experience with: Java Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills As a Java Software Developer, you will enjoy fantastic benefits: ~ Bonus ~ Private health insuran

Ansible | Linux | Ubuntu | On-premise | Bare Metal | Kubernetes | Containerisation | K8s | Containers | PostgresSQL | GCP | Google Cloud | Openshift | RHEL Enjoy getting into the weeds of Containers? Working on Bare Metal Servers? Excited by the prospect of joining a scale up who're holding ont

C# (also open to Python & Go engineers)\n Drive innovation using AWS and GCP \n Work with Kubernetes and modern deployment practices \n\n If you want to take ownership of cutting-edge projects while working alongside some of the smartest engineers in London, apply now for this fantastic C# Devel

Lead Developer Remote - London (2-4 Times Per Month) Up to 65,000 + Benefits Were working with a world-renowned organisation at the forefront of science and digital innovation who are looking for a Lead Developer to join a major national programme. This is a fantastic opportunity to take ownership of building and leading a team delivering cutting-edge digital infrastructure that will transform how vital scientific data is accessed and shared across the UK and beyond. The role As Lead Developer, youll provide senior technical direction and hands-on expertise in designing and implementing scalable, secure infrastructure. Youll be responsible for shaping architectural decisions, integrating cloud-based and bespoke solutions, and ensuring robust delivery of complex technical projects. Alongside this, youll build and mentor a small but growing engineering team while collaborating closely with programme managers, senior stakeholders, and technical partners. Key responsibilities: Lead and grow a technical team delivering a new digital infrastructure programme. Provide hands-on technical input, writing high-quality code and driving architecture decisions. Design and implement secure, scalable backend systems and cloud infrastructure. Build robust data pipelines to manage and mobilise large-scale datasets. Collaborate with external suppliers, partners, and stakeholders to align delivery. What were looking for: At least 5 years of experience delivering full-stack software development (Python backend, JavaScript frontend). Strong background in backend infrastructure SQL/NoSQL, event stores, cloud storage. Proven experience in architecting secure, scalable systems in AWS, Azure, or GCP. Experience with CI/CD pipelines, agile delivery, and technical leadership. Excellent communication skills and ability to work with senior stakeholders. Whats on offer: Salary up to 65,000 Hybrid working 1 day per week in London, with some UK travel Generous annual leave and pension scheme Wellbeing and flexible working support A unique opportunity to contribute to a nationally significant digital transformation programme with global impact If youre a technically strong, forward-thinking engineer ready to step into a leadership role, this is your chance to make a real impact.

Lead Data Analyst Data & Analysis At Nandos, our purpose is simple: to Create Lasting Happiness for our people, our customers, and the communities were part of. Born in Johannesburg and growing worldwide, weve always been about more than flame-grilled PERi-PERi chicken. Now, were building exciting new digital and data capabilities. Our tech team has expanded rapidly over the last five years, and were bringing fresh ideas and innovation to the restaurant industry. This is your chance to help shape that journey. Were looking for a Lead Data Analyst to join our Data & Analysis team. This role isnt just about crunching numbers its about using data to tell stories, spark ideas, and make real impact. Youll guide how we use data to make decisions, help shape our data culture, and mentor others to grow in confidence and skill. Integrity in how we use data responsibly and with respect. Youll live these values in your work every day, helping teams across the business use data with confidence and creativity. Translate complex data into clear, practical insights that support decisions across Nandos. Lead with empathy, empowering teams to own and understand their data . Shape how we design our data models and reports, keeping them simple, accessible, and useful. Explore new tools and techniques including AI to help us work smarter. Share your knowledge through mentoring, demos, and storytelling, building confidence in data across the business. Support and inspire other analysts, helping them develop their skills and careers. Enjoy collaborating with people and explaining data in ways that inspire action. Feel comfortable with tools like SQL, Python, or BI platforms (Looker, Tableau, PowerBI) but you dont need to know them all. Experience with cloud databases (GCP, AWS, Snowflake). Knowledge of data pipelines or testing tools. Exposure to machine learning, forecasting, or statistical techniques. (Dont worry if you dont tick every box if you have the right mindset and passion for data, well support you to grow.) Well help you carve out your own path. Belonging & inclusion : We celebrate diversity and create spaces where people feel safe, respected, and able to flourish. We support hybrid options because life outside work matters too. From reducing waste to improving sustainability and creating better guest experiences, your work will help make a difference beyond the data. Were committed to building an inclusive culture where everyone feels respected, valued, and able to flourish.

Typescript, GCP), with a strong focus on backend systems Design scalable architectures and APIs to support rapid product growth Lead end-to-end feature development, from concept through to release Champion engineering best practices and bring new ideas to the table Collaborate closely with P

Senior Digital Solutions Architect. Public Cloud (AWS, Azure, GCP). Cloud Strategy (Migrations, Optimisations, Adoptions).

Lead Data Analyst Data & Analysis At Nandos, our purpose is simple: to Create Lasting Happiness for our people, our customers, and the communities were part of. Born in Johannesburg and growing worldwide, weve always been about more than flame-grilled PERi-PERi chicken. Now, were building exciting new digital and data capabilities. Our tech team has expanded rapidly over the last five years, and were bringing fresh ideas and innovation to the restaurant industry. This is your chance to help shape that journey. Were looking for a Lead Data Analyst to join our Data & Analysis team. This role isnt just about crunching numbers its about using data to tell stories, spark ideas, and make real impact. Youll guide how we use data to make decisions, help shape our data culture, and mentor others to grow in confidence and skill. Integrity in how we use data responsibly and with respect. Youll live these values in your work every day, helping teams across the business use data with confidence and creativity. Translate complex data into clear, practical insights that support decisions across Nandos. Lead with empathy, empowering teams to own and understand their data . Shape how we design our data models and reports, keeping them simple, accessible, and useful. Explore new tools and techniques including AI to help us work smarter. Share your knowledge through mentoring, demos, and storytelling, building confidence in data across the business. Support and inspire other analysts, helping them develop their skills and careers. Enjoy collaborating with people and explaining data in ways that inspire action. Feel comfortable with tools like SQL, Python, or BI platforms (Looker, Tableau, PowerBI) but you dont need to know them all. Experience with cloud databases (GCP, AWS, Snowflake). Knowledge of data pipelines or testing tools. Exposure to machine learning, forecasting, or statistical techniques. (Dont worry if you dont tick every box if you have the right mindset and passion for data, well support you to grow.) Well help you carve out your own path. Belonging & inclusion : We celebrate diversity and create spaces where people feel safe, respected, and able to flourish. We support hybrid options because life outside work matters too. From reducing waste to improving sustainability and creating better guest experiences, your work will help make a difference beyond the data. Were committed to building an inclusive culture where everyone feels respected, valued, and able to flourish.

You have strong Python backend software engineering skills \n You have experience of building FastAPIs \n You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine \n You have experience of working with data at scale \n You have strong SQL skills

Establishing robust IAM policies for GKE and related GCP services.

Leading technical solution design and delivery for large-scale data platform projects using GCP and BigQuery \n Take ownership of cloud migration and data platform modernization strategies \n Undertake data modelling tasks with a focus on long-term maintainability and scalability \n Implementing gov

Principal Platform Engineer London / WFH to £150k.Are you a technologist with start-up experience and a first class education looking for a new opportunity?.You could be joining a small Fintech start-up run by small, successful and proven team of finance technology entrepreneurs, backed by Silicon

Key Focus Areas Scalable cloud architecture DevOps CI/CD implementation Governance security compliance Must-Have Skills Cloud strategy and architecture (AWS, Azure, or GCP) Containerization: Docker, Kubernetes DevOps, CI/CD, automation Cloud security and governance standards Agile methodologies and

Senior DevOps Engineer London (Hybrid) Day Rate - £500 We’re seeking a Senior DevOps Engineer to join a major cloud transformation programme for a global logistics and maritime services organisation. This role sits within a high-performing engineering team responsible for migrating core systems and services to the cloud a key strategic initiative that drives scalability, resilience, and global efficiency. The Role You’ll play a pivotal role in architecting, automating, and supporting the migration of on-premise infrastructure to a modern cloud environment. Working closely with development and platform teams, you’ll ensure the new environment is secure, performant, and built for long-term sustainability. Key Responsibilities • Lead infrastructure design and deployment using Terraform (IaC), • Build and manage Kubernetes clusters to support containerised workloads, • Support the migration of legacy systems to cloud platforms (AWS, Azure, or GCP), • Develop and optimise CI/CD pipelines for cloud-native delivery, • Create automation scripts and tools — ideally using Python, • Implement monitoring, alerting, and scaling strategies to ensure operational excellence, • Collaborate across teams to ensure seamless migration and minimal disruption What You’ll Bring • Proven experience in a Senior DevOps or Cloud Engineering role, • Strong hands-on knowledge of Terraform and Kubernetes, • Demonstrated experience with cloud migrations or large-scale infrastructure modernisation projects, • Proficiency in at least one major cloud platform (AWS, Azure, or GCP), • Experience with automation, CI/CD, and infrastructure observability, • Scripting experience in Python, • Excellent communication skills and a collaborative, delivery-focused mindset Contract Details • 📅 Start Date: ASAP, • 💰 Day Rate: £500+ per day (depending on experience), • ⏳ Duration: Initial 6 months (extension likely), • 🌍 Location: Remote or hybrid (UK-based candidates preferred)

Founding AI Engineer x 3 - Python, AI, ML, Cloud 5+ years of experience within AI/ML Engineer Strong background in AI/ML Engineering Python expertise Knowledge of ML libraries such a PyTorch or TensorFlow Cloud platform experience (AWS, Azure or GCP) Experience working in production envi

PyTorch, TensorFlow, scikit-learn) and/or TypeScript/JavaScript ~ Familiarity with LLM frameworks (LangChain, LlamaIndex) and vector databases (Pinecone, Weaviate) ~ Understanding of cloud platforms (AWS, Azure, or GCP) and modern development workflows (Git, CI/CD) ~ Experience with promp

Job Title: Software Developers – Multiple Positions (Junior to Senior Principal) Location: London (Hybrid – Flexible working with client site travel required) Salary: Competitive, based on experience (from 1 year to Principal level) – Multiple positions available Check out the role overview below If you are confident you have got the right skills and experience, apply today. Clearance Requirement: Active SC or DV Clearance is essential About the Company • Leading tech partner headquartered in London, • Rapidly growing with ambitious expansion plans, • Collaborative and forward-thinking culture, • Focused on delivering software solutions that drive measurable business impact Role Overview • Broad role spanning software development, architecture, and engineering, • Client-facing position with opportunities across diverse industries, • Design, build, and optimize scalable software applications and systems, • Work on high-impact, dynamic projects with flexibility to innovate Key Responsibilities • Translate client requirements into robust software solutions, • Develop and maintain applications using modern programming languages and frameworks, • Contribute to system architecture and design decisions, • Ensure code quality through testing, reviews, and best practices, • Collaborate with cross-functional teams to deliver project goals, • Stay current with emerging technologies and development methodologies Tech Stack & Tools • Programming Languages: C++, C#, Python, JavaScript, TypeScript, Java, • Frameworks & Libraries: .NET, Node.js, React, Angular, Spring Boot, Django (depending on role), • Cloud Platforms: AWS, Azure, GCP, • DevOps & CI/CD: Docker, Kubernetes, Git, Jenkins, • Agile methodologies and tools (e.g., Jira, Confluence) Candidate Profile • 1+ years’ experience in software development (Junior to Principal level), • Proficiency in one or more of the listed programming languages, • Strong problem-solving and analytical skills, • Comfortable working directly with clients and stakeholders, • Excellent communication and teamwork abilities, • Must hold active SC or DV Clearance

Role: Business Analyst – Data Role Purpose To support the development and operationalisation of the Common Data Model (CDM) by mapping data from multiple source systems (e.g Core banking, Lending Systems, General Ledger etc) into the CDM, and from the CDM to various target domains including regulatory reporting, dashboards, and MI. Key Responsibilities • Collaborate with business SMEs, engineers, architects to analyse source system data structures and semantics, • Perform detailed data mapping from source systems to CDM entities and attributes., • Define transformation logic and business rules required for mapping and harmonisation., • Perform detailed data mapping from CDM to target domains, • Maintain mapping documentation and contribute to the data catalogue., • Validate mappings through profiling, reconciliation, and test queries in BigQuery., • Identify data quality issues and work with relevant teams to resolve them., • Validate and achieve sign-off requirements from various stakeholders, • Conduct walk-through of requirements and data specifications with business SMEs, architects, engineers, and test teams. Required Skills & Experience • Strong experience in data mapping, data integration, or ETL processes., • Familiarity with financial services data, especially lending and credit domains., • Hands-on experience with SQL, • Experience working with cloud data platforms (preferably GCP and BigQuery)., • Ability to interpret complex data structures and translate them into business-friendly formats., • Familiarity with various database tools and ability to navigate through complex systems landscapes Desirable Skills • Experience with CDM frameworks or canonical data models., • Knowledge of regulatory reporting requirements in UK banking, • Experience with data catalogue tools and metadata management, • Product specific knowledge across lending, deposits, or treasury

Senior Data Scientist Consultant – London | Hybrid Who I’m looking for You’re an experienced consultant who thrives on solving complex client challenges through data, analytics, and technology. You’re confident operating in ambiguous environments, bringing structure, clarity, and insight to every engagement. You combine deep technical expertise with strong communication skills — able to translate complex analytical findings into clear, actionable recommendations for clients. You build trust quickly, are commercially aware, and enjoy working at the intersection of data science, strategy, and innovation. You’re equally comfortable presenting to senior stakeholders, mentoring junior team members, or getting hands-on developing prototypes and scalable analytical solutions. What you’ll be doing • Leading client engagements as a trusted advisor and subject matter expert., • Working in agile, experiment-driven environments that value iteration and learning., • Translating client challenges into well-defined analytical problems and evidence-based recommendations., • Scoping and delivering complex technical projects end-to-end., • Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP)., • Applying advanced analytical and statistical methods to uncover insights and support decision-making., • Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing, CI/CD)., • Building scalable, deployable systems while managing risk and ensuring quality., • Communicating findings through clear, compelling narratives tailored to both technical and non-technical audiences., • Contributing to business development, client pitches, and the organisation’s broader strategy. About you • Minimum 5 years’ experience in a consultancy environment, leading delivery across complex, client-facing technical projects., • Degree (or higher) in a STEM discipline., • Proven expertise in data science, analytics, or applied machine learning., • Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP)., • Understanding of database technologies (SQL and NoSQL)., • Experience with CI/CD pipelines, software engineering best practice, and modern development workflows., • Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively., • Evidence of ongoing professional development and a passion for continuous learning. Security Clearance Due to the nature of the work, applicants must hold active SC clearance or be eligible to obtain it. To qualify, you must be a British Citizen who has lived in the UK continuously for the past five years. What’s in it for you? You’ll join at the Senior level, with a competitive salary and package reflective of your impact. This is an opportunity to be part of a fast-growing, values-driven organisation where innovation, collaboration, and transparency are at the heart of everything. Your voice will be heard, your ideas will shape the future, and you’ll gain exposure across the full breadth of strategy, delivery, and client success. Benefits: • Flex Cash Allowance, • Comprehensive Private Healthcare, • Training budget each yea / 5 Paid training days per year, • 3 paid volunteering days, • £200 tech budget, • 3 promotion windows per year, • And more